About the role
Role & Responsibilities Overview:
* Architect and implement end‑to‑end data solutions using Microsoft Fabric components including Data Factory, Lakehouse, Warehouse, Real‑Time Analytics, and OneLake. * Design scalable data models, integration patterns, and storage strategies to support insurance datasets such as policy, claims, billing, actuarial, and customer information. * Create architectural blueprints, reference architectures, and reusable frameworks that align with enterprise engineering and cloud standards. * Develop and manage ingestion pipelines using Fabric Data Factory, enabling batch, real‑time streaming, and API‑based data integrations. * Build Lakehouse‑centered architectures to support advanced analytics, reporting, and machine learning workloads. * Optimize data pipelines for performance, reliability, and cost efficiency across Azure and Fabric environments. * Collaborate with Data Governance teams to ensure adherence to enterprise data standards, lineage tracking, metadata management, and data quality rules. * Implement governance and compliance capabilities within Fabric, including cataloging, sensitivity labeling, and granular access control. * Support regulatory requirements for insurance data, ensuring compliance with NAIC guidelines, state-level regulations, and data privacy laws. * Partner with cloud engineering and security teams to optimize Fabric deployments integrated with Azure AD, Microsoft Purview, and Power BI. * Ensure architectural alignment with enterprise cloud strategy, security frameworks, and operational guardrails. * Evaluate new Microsoft Fabric features, capabilities, and roadmap items, recommending adoption and modernization strategies. * Collaborate with business and analytics stakeholders to translate domain requirements into robust, scalable data solutions. * Provide technical direction and architectural guidance to data engineers, analysts, and BI developers across projects. * Lead design reviews and enforce architectural consistency across data initiatives and engineering teams. * Define and implement Fabric best practices for performance tuning, storage optimization, and cost governance. * Establish strong data security models, including RBAC, encryption, data masking, and secure access patterns. * Monitor Fabric platform health and proactively manage risks, ensuring high availability and operational resilience.
Candidate Profile:
* 7+ years of experience in data architecture, data engineering, or analytics platform design. * Strong hands on experience with Microsoft Fabric and related Azure services. * Deep understanding of insurance data domains (policy, claims, underwriting, actuarial, billing). * Expertise in data modeling (dimensional, canonical, semantic models). * Strong knowledge of data governance, metadata management, and data quality practices. * Proficiency with SQL, Python, and modern data engineering frameworks. * Excellent communication and stakeholder management skills. * Experience with Microsoft Purview, Power BI, Databricks, or Azure Synapse. * Familiarity with modern data architecture concepts (data mesh, data fabric, Lakehouse). * Certifications such as Azure Data Engineer * Prior experience in P&C or Life insurance data modernization programs.
Originally posted on Himalayas